WO2022078977A1 - Procédé de commande de paramètres d'auto-exposition d'un dispositif mobile ayant une caméra - Google Patents

Procédé de commande de paramètres d'auto-exposition d'un dispositif mobile ayant une caméra Download PDF

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Publication number
WO2022078977A1
WO2022078977A1 PCT/EP2021/078097 EP2021078097W WO2022078977A1 WO 2022078977 A1 WO2022078977 A1 WO 2022078977A1 EP 2021078097 W EP2021078097 W EP 2021078097W WO 2022078977 A1 WO2022078977 A1 WO 2022078977A1
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WO
WIPO (PCT)
Prior art keywords
color reference
camera
color
fields
mobile device
Prior art date
Application number
PCT/EP2021/078097
Other languages
English (en)
Inventor
Max Berg
Fredrik HAILER
Beate Koschorreck
Bernd Limburg
Christian MELCHINGER
Guenter Schmidt
Wolfgang Schwoebel
Original Assignee
F. Hoffmann-La Roche Ag
Roche Diabetes Care Gmbh
Roche Diabetes Care, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by F. Hoffmann-La Roche Ag, Roche Diabetes Care Gmbh, Roche Diabetes Care, Inc. filed Critical F. Hoffmann-La Roche Ag
Priority to CA3195116A priority Critical patent/CA3195116A1/fr
Priority to MA59998A priority patent/MA59998A1/fr
Priority to KR1020237016095A priority patent/KR20230086754A/ko
Priority to JP2023522902A priority patent/JP2023545191A/ja
Priority to CN202180070561.7A priority patent/CN116420067A/zh
Publication of WO2022078977A1 publication Critical patent/WO2022078977A1/fr
Priority to US18/300,106 priority patent/US20230262339A1/en

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/8483—Investigating reagent band
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/61—Control of cameras or camera modules based on recognised objects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/63—Control of cameras or camera modules by using electronic viewfinders
    • H04N23/633—Control of cameras or camera modules by using electronic viewfinders for displaying additional information relating to control or operation of the camera
    • H04N23/635—Region indicators; Field of view indicators
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/71—Circuitry for evaluating the brightness variation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/75—Circuitry for compensating brightness variation in the scene by influencing optical camera components
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/76—Circuitry for compensating brightness variation in the scene by influencing the image signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
    • A61B10/0045—Devices for taking samples of body liquids
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/8483—Investigating reagent band
    • G01N2021/8488—Investigating reagent band the band presenting reference patches
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/02—Mechanical
    • G01N2201/022—Casings
    • G01N2201/0221—Portable; cableless; compact; hand-held
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control
    • H04N1/603—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer
    • H04N1/6033—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer using test pattern analysis

Definitions

  • the present application refers to a method of controlling auto-exposure settings of a mobile device having at least one camera, and to a method of determining the concentration of an analyte in a sample by using the mobile device.
  • the invention further relates to a mobile device having at least one camera, to a kit for determining the concentration of the analyte in the sample of the bodily fluid, and further to a computer program and to a computer- readable storage medium.
  • the methods, devices, computer program and storage medium specifically may be used in medical diagnostics, in order to for example qualitatively and/or quantitatively detect one or more analytes in one or more body fluids, such as for detecting glucose in blood and/or interstitial fluid.
  • Other fields of application of the present invention are also feasible.
  • analytes In the field of medical diagnostics, in many cases, one or more analytes have to be detected in samples of a body fluid, such as blood, interstitial fluid, urine, saliva or other types of body fluids.
  • a body fluid such as blood, interstitial fluid, urine, saliva or other types of body fluids.
  • analytes to be detected are glucose, triglycerides, lactate, cholesterol or other types of analytes typically present in these body fluids.
  • an appropriate treatment may be chosen, if necessary.
  • the invention specifically may be described with respect to blood glucose measurements. It shall be noted, however, that the present invention may also be used for other types of analytical measurements using test strips.
  • test strips comprising one or more test chemistries, which, in presence of the analyte to be detected, are capable of performing one or more detectable detection reactions, such as optically detectable detection reactions.
  • detectable detection reactions such as optically detectable detection reactions.
  • test chemistries reference may be made e.g. to J. Hoenes et al.: The Technology Behind Glucose Meters: Test Strips, Diabetes Technology & Therapeutics, Volume 10, Supplement 1, 2008, S-10 to S-26.
  • Other types of test chemistry are possible and may be used for performing the present invention.
  • one or more optically detectable changes in the test chemistry are monitored, in order to derive the concentration of the at least one analyte to be detected from these changes.
  • various types of detectors with various types of light sources for illuminating the test fields
  • are known also referred to as dedicated meters or analytical measurement devices.
  • US20170042451A1 describes that pixel values in an image taking with a computing device which can be a smartphone are heavily dependent on the lighting that existed when the image was taken, and on the exposure of the image taken by the camera. It is therefore suggested to take an image with a reference card also visible in the image. A location on the card having a pure gray color of a known reflectivity is then identified in the image that was taken and pixels on this card location are analyzed in order to standardize both the exposure and the white balance of the image. The standardization is then applied to an average value of selected pixels of the image, in order to create a corrected pixel value.
  • US10469807B2 describes a system for determining a color match using a template card comprising at least one reference scale.
  • An image of the template card and a color sample is received, and color correction is applied to the sample RGB value based on a difference between the at least one reference scale RGB value and a corresponding calibration RGB value of the at least one reference scale to produce a color corrected sample RGB value.
  • the color corrected sample RGB value is then compared with the RGB values of the color definitions stored within a database to determine a color match. It is described that an unknown camera gain and lighting effects may not affect the true red, green, and blue color values because the camera gain and lighting effects affect the template card in the same manner as they affect a sample of the unknown color. It is thus described that the template card serves as a reference card to eliminate the many variations that can impact the perception or imaging of an unknown color sample.
  • US9903857B2 describes a testing apparatus for performing an assay, the testing apparatus comprising: a receptacle containing a reagent, the reagent being reactive to an applied test sample by developing a color or pattern variation; a mobile phone or a laptop, comprising a processor and an image capture device, wherein the processor is configured to process data captured by the image capture device and output a test result for the applied test sample.
  • US9506855B2 discloses that a challenge for everyday use outside of a controlled setting for mobile phones for quantitative colorimetric analysis is compensating for ambient light conditions. Is it described that when measuring 12 regions on a reference chart, it was found that the measured intensities between different ambient light conditions had a linear relationship. It is concluded that the reference color chart can be used for compensating the intensity difference caused by ambient light changes. It is also described that the reference chart nearly eliminates effects of automatic camera functions, making images reproducible and quantifiable. Skewing the reference chart in the direction of warm colors by including yellow, orange, and red regions overcomes the tendency of AWB to decrease gain in the red channel of the CMOS imaging array, since silicon exhibits better responsiveness at these longer wavelengths.
  • the use of mobile devices to determine analyte concentrations using optical test strips may require an accurate determination of the color change of the optical test strip and, thus, often remains challenging.
  • Appropriate image brightness needs to be ensured.
  • the observed brightness in the captured images may, e.g., be dependent on various influencing factors, such as settings determining the exposure when capturing the image, such as the shutter speed, the aperture size, and sensor gain, as well as post-processing steps applied to the image after it was captured.
  • the determination of the exposure settings by the mobile devices is often a device-specific process conducted in an automatic exposure (auto-exposure) mode and, thus, may be unknown to the manufacturer of the measurement application.
  • auto-exposure an image taken with auto-exposure mode normally has a good overall or average brightness, there may be local under- or overexposures of image portions being much darker or much lighter than the image average.
  • intensity values falling outside a minimum or maximum intensity which can be represented will appear as uniform area of the minimum or maximum brightness in the image so that image details are lost. If essential image elements (e.g., the test field) are thus within those under- or overexposed image areas, this image cannot be used for determining an analyte concentration.
  • the terms “have”, “comprise” or “include” or any arbitrary grammatical variations thereof are used in a non-exclusive way. Thus, these terms may both refer to a situation in which, besides the feature introduced by these terms, no further features are present in the entity described in this context and to a situation in which one or more further features are present.
  • the expressions “A has B”, “A comprises B” and “A includes B” may both refer to a situation in which, besides B, no other element is present in A (i.e. a situation in which A solely and exclusively consists of B) and to a situation in which, besides B, one or more further elements are present in entity A, such as element C, elements C and D or even further elements.
  • the terms “at least one”, “one or more” or similar expressions indicating that a feature or element may be present once or more than once typically will be used only once when introducing the respective feature or element.
  • the expressions “at least one” or “one or more” will not be repeated, non-withstanding the fact that the respective feature or element may be present once or more than once.
  • a method of controlling auto-exposure settings of a mobile device having at least one camera when capturing, by using the camera, at least one image of at least part of a color reference card and of at least part of a reagent test field of an optical test strip having a sample applied thereto is disclosed.
  • the method comprises the following steps: a) providing a color reference card and an optical test strip having a test field having a sample applied thereto, o wherein the color reference card comprises a plurality of different color reference fields having known reference color values and one or more gray background fields having defined gray values, b) setting an exposure metering area and determining auto-exposure settings based on the scene in the set exposure metering area, o wherein the scene in the set exposure metering comprises at least part of the reagent test field of the optical test strip having the sample applied thereto, and at least part of the plurality of different color reference fields and at least part of the one or more gray background fields of the color reference card, and c) capturing, by using the camera, an image comprising the scene of step b), o wherein the determined auto-exposure settings of step b) are used.
  • the method may comprise further steps which are not listed.
  • auto-exposure settings is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to the automatically adjusted exposure parameter value(s) of a camera in order to control exposure or how much light is let in to an image.
  • Exposure can, e.g., be regulated by adjusting exposure parameter values such as one or more of sensor gain, shutter speed or exposure time, lens aperture, or by adjusting any other operation of a camera for changing an exposure parameter value of the camera.
  • Sensor gain may, e.g., be defined as a digital camera setting that controls the amplification of the signal from one or more of the camera sensors.
  • Amplification of the signal may be controlled individually for each sensor or for a subset of sensors of the camera when adjusting sensor gain. Alternatively, amplification of the signal may be controlled uniformly for all sensors of the camera when adjusting sensor gain. Increasing the gain amplifies the signal by increasing the ratio of the analog-to-digital units (ADUs) to electrons acquired on the sensor. The result is that increasing gain increases the apparent brightness of an image.
  • Shutter speed or exposure time may, e.g., be defined as the length of time the camera shutter is open, exposing light onto the camera sensor.
  • Lens aperture may refer to a hole or an opening that limits the amount of light that can pass through.
  • exposure parameter values may be set man- ually by the user
  • many smartphones especially cheaper ones, do not allow the user to freely adjust exposure parameter values like sensor gain, shutter speed (exposure time), or lens aperture. They only offer an automatic exposure mode.
  • Such automatic exposure mode e.g., may try to take the image such that the integral intensity or brightness of the image is in accordance with predefined values.
  • auto-exposure settings are determined based on an unsuitable scene in the set exposure metering area this may result in unsuitable auto-exposure settings for capturing an image and in consequence to an image unsuitable for determining the concentration of an analyte in the sample from such image.
  • controlling generally refers to a process of influencing or regulating settings or a process for determining settings in a defined or definable fashion.
  • the result is influenced by the scene or part of the scene (or more specifically the light conditions in that scene or part of the scene) to be imaged.
  • An exposure metering area can be set to determine which part of the scene (or the entire scene) in the field of view of the camera is used by the camera to determine the auto-exposure settings.
  • mobile device as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a mobile electronics device, more specifically to a mobile communication device such as a cell phone or a smartphone. Additionally or alternatively, as will be outlined in further detail below, the mobile device may also refer to a tablet computer or another type of portable computer having at least one camera.
  • the term “camera” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a device having at least one imaging element configured for recording or capturing spatially resolved one-dimensional, two-dimensional or even three-dimensional optical data or information.
  • the camera may specifically comprise one or more imaging devices, such as cam- era chips or imaging chips, e.g. CCD and/or CMOS chips.
  • the camera, in particular the imaging device may comprise a one-dimensional or two-dimensional array of image sensors, such as pixels.
  • the camera may comprise at least 10 pixels in at least one dimension, such as at least 10 pixels in each dimension.
  • the camera besides at least one camera chip or imaging chip, may comprise further elements, such as one or more optical elements, e.g. one or more lenses.
  • the camera may be a fix-focus camera, having at least one lens which is fixedly adjusted with respect to the camera.
  • the camera may also comprise one or more variable lenses which may be adjusted, automatically or manually.
  • the camera may also comprise a diaphragm for controlling the aperture (whereby the amount of light that reaches the camera sensor may be controlled). The diaphragm functions much like the iris of the eye- it controls the effective diameter of the lens opening (called the aperture).
  • the camera may further comprise an ambient light sensor for measuring light reflected by a scene to be captured in an image.
  • the invention specifically shall be applicable to cameras as usually used in mobile applications such as notebook computers, tablets or, specifically, cell phones such as smartphones.
  • the camera may be part of a mobile device which, besides the at least one camera, comprises one or more data processing devices such as one or more data processors.
  • Other cameras are feasible.
  • the camera specifically may be a color camera.
  • color information may be provided or generated, such as color values for three colors R, G, B.
  • a larger number of color values is also feasible, such as four color values for each pixel, for example R, G, G, B.
  • Color cameras are generally known to the skilled person.
  • the camera chip may consist of a plurality of three or more different color sensors each, such as color recording pixels like one pixel for red (R), one pixel for green (G) and one pixel for blue (B).
  • values may be recorded by the pixels, such as digital values in the range of 0 to 255, depending on the intensity of the respective color.
  • quadruples may be used, such as R, G, G, B.
  • the color sensitivities of the pixels may be generated by color filters or by appropriate intrinsic sensitivities of the sensor elements used in the camera pixels. These techniques are generally known to the skilled person. For example, gain can be a digital camera setting that controls the amplification of the signal from the camera sensor.
  • step a) comprises providing a color reference card and an optical test strip having a test field having a sample applied thereto.
  • optical test strip as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a strip shaped element or device configured for performing a color-change detection reaction.
  • the optical test strip may also just be referred to as test strip herein, wherein these terms may refer to the same element.
  • the optical test strip may particularly have a reagent test field containing at least one test chemical for detecting at least one analyte.
  • the optical test strip as an example, may comprise at least one substrate, such as at least one carrier, with the at least one reagent test field applied thereto or integrated therein.
  • the optical test strip may further comprise at least one white area, such as a white field, specifically in a proximity to the test field, for example enclosing or surrounding the test field.
  • the white area may be a separate field independently arranged on the substrate or carrier.
  • the substrate or carrier itself may be or may comprise the white area.
  • the at least one carrier may be strip-shaped, thereby providing the basic form of the test strip.
  • test field is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a coherent amount of the test chemical, such as to a field or a region, e.g. a field of round, polygonal or rectangular shape, having one or more layers of material, with at least one layer of the test field having the test chemical comprised therein.
  • the optical test strip may be placed on top of the color reference card, and/or the color reference card may comprise one or more windows, wherein the color reference card, with the one or more windows, is placed on top of the optical test strip such that the reagent test region is visible through the window.
  • color reference card as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to an arbitrary item having, disposed therein or disposed thereon, such as on at least one surface, a plurality of different color reference fields having known color properties or optical properties, such as having a plurality of colored fields having known reference color values, and further one or more gray background fields having defined gray levels.
  • the color reference card may be a flat card comprising at least one substrate having, on at least one surface and/or disposed therein, the plurality of color reference fields having known color coordinates and one or more gray background fields having known gray levels.
  • the color reference card may also comprise, one or more further gray fields. This will be described further below.
  • the substrate may have a flat surface comprising the plurality of color reference fields, and the one or more gray background fields, and optionally (additional) gray fields disposed thereon (see below).
  • the substrate may be or may comprise one or more of a paper substrate, a cardboard substrate, a plastic substrate, a ceramic substrate or a metal substrate. Laminate substrates are also possible.
  • the substrate as an example, may be sheet-like or flexible. It shall be noted, however, that the substrate may also be implemented into an article of use, such as into a wall of a box, a vile, a container, a medical consumable, such as a test strip, or the like.
  • the color reference card may also fully or partially be integrated into the optical test strip.
  • the at least one image of at least a part of the color reference card may fully or partially comprise an image of at least part of the optical test strip having at least one reagent test field.
  • the color reference card may comprise at least one position marker.
  • the at least one position marker as an example, may be or may comprise particularly an ArUco code or the like.
  • the at least one position marker may be arranged in at least one corner of the color reference card.
  • the mobile device may be configured for detecting and/or reading the marker, specifically by optically detecting the marker (e.g., on the at least one image captured in step c)), and optionally retrieving information from the marker, such as information on the position and/or orientation of the color reference card in relation to the camera.
  • the color reference card may include other marker(s) including further information or the position marker may additionally include further information.
  • Such further information may include at least one of: an identifier for identifying the color reference card and/or the type of the color reference card, such as at least one of a label, a barcode or a QR-code; a specifier specifying details of the color reference card, such as reference color values, gray background and/or further gray values or the like, such as by using at least one of a label, a barcode or a QR-code.
  • color reference field is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to an arbitrary item having known optical properties, such as a known reference color value.
  • a color reference field comprised by the color reference card may be a 2- dimensional structure, such as a rectangle, a square, a polygon, a circle and/or an ellipse, with a uniform color value.
  • the color value of the color reference field specifically may be one or more of predetermined, known or determinable.
  • the color reference field may be comprised by a surface of the color reference card and/or disposed therein, specifically in such a way that at least part of the plurality of different color reference fields (e.g. one color reference field) may be visible in the image captured in step c). Further, the color reference fields may have color values in a subspace of the color coordinate system corresponding to the color space of the color formation reaction of the reagent test region.
  • the color reference fields of the color reference card specifically may be arranged in a regular pattern on the surface of the color reference card, such as in a rectangular pattern, e.g. a rectangular matrix pattern. The pattern arrangement specifically may enable identifying the color reference fields, such as by searching at a predetermined distance in an x- and/or y- direction from one or more of the position markers.
  • the color reference fields may be locally distributed over the color reference card, specifically over a part of the color reference card visible in the image.
  • the color reference card comprises at least two color reference fields having different reference color values.
  • the color reference card may comprise a plurality of color reference fields having different color values, wherein the color values of the color reference fields may be selected from a predetermined color subspace of the color space.
  • the predetermined color subspace may comprise at least one color value of the color formation reaction of the reagent test field.
  • known color reference values as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a predetermined, real or true color value of a color reference field.
  • the known reference color value may comprise at least three color values, such as at least one color value for each R, G, B color.
  • the known reference color value for each color reference field may be stored on a data storage device of the mobile device, for example by a look-up table, a register, a database or the like.
  • the known reference color values may have been determined by measuring the respective color values, specifically by measuring the color values in a controlled laboratory environment, such as by using a photospectrometer. The measurement of the color reference fields using a photospectrometer may define the respective known reference color values.
  • gray background field is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to an arbitrary item, such as a field having a known or determinable limitation, having a color or a gray shade of a defined gray level.
  • the gray level may refer to a relative brightness value indicating a proportion or percentage of a mixture of black and white. For example, a gray level of 100% may indicate a black field, a gray level of 0% may indicate a white field, whereas a gray level in between 0 and 100% may indicate a mixture of black and white.
  • the gray background field may be a 2-dimensional structure, such as a rectangle, a square, a polygon, a circle and/or an ellipse, with a uniform gray level.
  • One gray background field may build an outer frame around an arrangement of the color reference fields (and optionally furthergray fields and positions markers).
  • essentially all areas of the color reference card except for the color reference fields, and if present except for further gray fields and if present except for position markers (and potentially except for a space on the color reference card for placing the test strip) may be covered by the one or more gray background fields.
  • the one or more gray background fields comprised by the color reference card may be locally assigned to one or more of the test fields when the test strip is placed on top of the color reference card or beneath with some parts of the test strip being visible through a window of the color reference card. Further, the one or more gray background fields comprised by the color reference card may be locally assigned to the plurality of color reference fields and/or one or more further gray fields.
  • the one or more gray background fields may cover at least 5%, in particular at least 10% or at least 15% of the surface of the color reference card when facing the camera
  • the one or more gray background fields may have defined gray values between 0% and 30% gray level or between 70% and 100% gray level.
  • the determination of the auto-exposure settings may be more strongly influenced than by using gray background fields having a gray level in the middle of the gray spectrum.
  • the one or more gray background fields may have defined gray values between 0% and 20% gray level or between 80% and 100% gray level.
  • the one or more gray background fields may have defined gray values between 0% and 10% gray level.
  • the gray background fields are characterized by all having the same gray value.
  • the reference cared comprises further gray fields in addition to the one or more gray background fields.
  • Such further gray fields may have gray values different from the one or more gray background fields.
  • the further gray fields may, in particular, have gray levels between >30% and ⁇ 70%.
  • a further gray field may be a 2-dimensional structure, such as a rectangle, a square, a polygon, a circle and/or an ellipse, with a uniform gray level.
  • the further gray fields each comprise a 2-dimensional structure smaller than the 2-dimensional structure of the biggest gray background field on the color reference card.
  • the further gray fields comprised by the color reference card may be locally assigned to one or more of the test fields when the test strip is placed on top of the color reference card or beneath with some parts of the test strip being visible through a window of the color reference card.
  • the further gray fields comprised by the color reference card may be locally assigned to the plurality of color reference fields and/or one or more gray background fields.
  • the term “locally assigned” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a predetermined spatial arrangement, such as a standardized local arrangement, between at least two objects.
  • two or more objects may be locally assigned to each other by being placed in a neighboring position.
  • Further gray fields may thus be placed in a neighboring position to the test field when the test strip is placed behind the color reference card.
  • Further grey fields may also be locally assigned to the at least one color reference fields on the color reference card such that these further grey fields (at least partially) may surround the at least one color reference field.
  • the term “locally” may refer to a nearest surrounding of the color reference field and/or the reagent test field.
  • this assignment is not necessarily exclude the first object from also being locally assigned to at least one third object.
  • the first object may be neighbored to at least one second object and at least one third object and, thereby, be assigned to both the second object and the third object.
  • the further gray fields may function as gray reference fields from which local brightness information may be determined.
  • the one or more gray background fields may also func- tion as gray reference fields from which local brightness information may be determined.
  • Local brightness information may be taken into account for determining an intensity corrected image from the captured at least one image.
  • further gray fields and optionally gray background fields may be locally assigned to the test field. They may thus surround the test field.
  • the further gray fields and optionally the gray background fields locally assigned to the test field and the test field may thus form a test field group.
  • the test field group may thus comprise a plurality of redundant further gray fields and optionally redundant gray background fields having at least two or optionally at least three different gray levels, wherein at least two, optionally at least three redundant gray fields may be provided for each gray level (counting the further gray fields and the gray background fields surrounding the test field here together as gray fields).
  • the redundant gray fields may be arranged around the test field in a symmetric fashion, more specifically in a rotationally symmetric and/or a mirror symmetric fashion.
  • the local brightness information for the test field may be determined by averaging over redundant gray fields having the same gray level.
  • the local brightness information may be determined by averaging over redundant gray fields with respect to a distance of the gray fields to the test field.
  • the averaging may comprise weighting the color values of redundant gray fields with their reciprocal quadratic distance to the test field.
  • the averaging may comprise averaging each of the RGB color values separately.
  • the color reference card may comprise further gray fields and optionally gray background field locally assigned to the color reference fields. They may thus surround the color reference fields.
  • the further gray fields and optionally the gray background fields locally assigned to a color reference field and the color reference field may thus form a color reference field group.
  • the color reference field group may thus comprise a plurality of redundant further gray fields and optionally redundant gray background fields having at least two or optionally at least three different gray levels, wherein at least two optionally at least three redundant gray fields may be provided for each gray level (counting the further gray fields and the gray background fields surrounding the test field here together as gray fields).
  • the redundant gray fields may be arranged around the color reference field in a symmetric fashion, more specifically in a rotationally symmetric and/or a mirror symmetric fashion.
  • the local brightness information for the color reference field may be determined by averaging over redundant gray fields having the same gray level.
  • the local brightness information may be determined by averaging over redundant gray fields with respect to a distance of the gray fields to the color reference field.
  • the averaging may comprise weighting the color values of redundant gray fields with their reciprocal quadratic distance to the color reference field.
  • the averaging may comprise averaging each of the RGB color values separately.
  • step b) comprises setting an exposure metering area and determining auto-exposure settings based on the scene in the set exposure metering area.
  • exposure metering area is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to the area that is considered by an auto-exposure algorithm to automatically calculate and/or manipulate exposure parameter value(s) of the camera in such a way that the image is captured in a predetermined manner. By the exposure metering area it can thus be determined which part of a scene in the field of view of the camera is considered for determining the auto-exposure settings.
  • Determining auto-exposure settings can then be defined generally as running any algorithm that automatically calculates and/or manipulates one or more of the exposure parameter value of the camera in such a way that the image is captured in a predetermined manner. For example, there may be a predetermined optimum average brightness value for a given scene that the camera will try to achieve by adjusting one or more of the camera's exposure parameter values.
  • Some auto-exposure algorithms e.g., calculate and/or manipulate the exposure parameter values, e.g., the camera's gain, such that a mean, median, or weighted value of the image's brightness will equal a predetermined optimum brightness value.
  • the exposure metering area may be set to comprise the entire scene in the field of view of the camera or just a part of the scene in the field of view of the camera.
  • the scene in the set exposure metering area thus corresponds to the scene in the field of view of the camera.
  • the scene in the set exposure metering area only comprises part of the scene in the field of view of the camera. Determining auto-exposure settings based on the part of a scene in the set exposure metering area in the first case thus means to determine the auto-exposure settings based on the entire scene in the field of view of the camera (100 % part of the scene in the field of view of the camera). This may be also termed “whole-frame metering”.
  • the exposure metering area may be set to comprise just a part (e.g., at least 10% or at least 20% or at least 30%) of the scene in the field of view of the camera, such as the part in the center of the field of view of the camera (this may be termed “center spot metering”) or a part of the scene in the field of the view of the camera that is off the center (this may be termed “off-center spot monitoring”), e.g., around an off-centered selected focus point.
  • Determining auto-exposure settings based on the part of a scene in the set exposure metering area in this case means to determine the auto-exposure settings based on that a part of the scene in the field of the view of the camera only.
  • the scene of part of the scene in the field of view of the camera may comprise different zones which may be weighted differently for determining the autoexposure settings.
  • all zones of the scene or part of the scene are weighted evenly.
  • the scene in the set exposure metering area comprises at least part of the reagent test field of the optical test strip having the sample applied thereto, and at least part of the plurality of different color reference and at least part of the gray background fields of the color reference card.
  • Setting the exposure metering area and/or determining the auto-exposure settings may be initiated by user action or may automatically be initiated, e.g. once the presence of the at least one object within a field of view and/or within a predetermined part of the field of view of the camera is automatically detected.
  • the user may set the exposure metering area manually, e.g., by pushing a button, or the processor of the mobile device may be configured, such as by software programming, for setting the exposure metering area.
  • Setting the exposure metering area may thus be controllable, e.g., by the user or by software programming of the manufacturer of a measurement application.
  • the determination of the auto-exposure settings by the mobile device based on the scene in the set exposure metering area may be a device-specific process unknown to the manufacturer of a measurement application.
  • the exposure metering area may be set in a static or dynamic manner.
  • the exposure metering area may be set to cover a predefined part of the scene in the field of view of the camera, e.g. the part (area of a predefined size) in the center of the field of view of the camera.
  • Static setting in particular refers to a setting of the exposure metering area without and/or before tracking the color card's position relative to the camera by the mobile device for determining the auto-exposure settings.
  • Dynamic setting in particular may refer to a setting of the exposure metering area wherein the color card's position relative to the camera by the mobile device is tracked first and, when the color card is determined to be suitably seen in (a certain part of) the field of view of the camera, the exposure metering area is set accordingly and auto-exposure settings are determined based on the scene in the set exposure metering area.
  • a computer program e.g.
  • a measurement application may be executed on the mobile device wherein the computer program comprises instructions which cause the mobile device to carry out the step of setting the exposure metering area.
  • the computer program e.g., the measurement application
  • the computer program is not able to adjust the exposure parameter values directly, but only influences the auto-exposure settings indirectly by controlling the setting of the exposure metering area.
  • step c) comprises capturing, by using the camera at least one image comprising the scene of step b), wherein the determined auto-exposure settings of step b) are used.
  • image as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term may specifically refer, without limitation, to a set of spatially resolved optical data. Specifically, the term may relate to data recorded by using a camera, such as a plurality of electronic readings from the imaging device, such as the pixels of the camera chip.
  • capturing at least one image as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to one or more of imaging, image recording, image acquisition, image capturing.
  • the term “capturing at least one image” may comprise capturing a single image and/or a plurality of images such as a sequence of images.
  • the capturing of the image may comprise recording continuously a sequence of images such as a video or a movie.
  • the capturing of the at least one image may be initiated by user action or may automatically be initiated, e.g. once the presence of the at least one object within a field of view and/or within a predetermined part of the field of view of the camera is automatically detected.
  • These automatic image acquisition techniques are known e.g. in the field of automatic barcode readers, such as from automatic barcode reading apps.
  • the capturing of the images may take place, as an example, by acquiring a stream or “live stream” of images with the camera, wherein one or more of the images, automatically or by user interaction such as pushing a button, are stored and one of them is used as the at least one image.
  • the image acquisition may be supported by a processor of the mobile device, and the storing of the images may take place in a data storage device of the mobile device.
  • the at least one image comprises the scene of step b).
  • the determined auto-exposure settings of step b) are used.
  • the brightness level of the color reference card in particular the brightness level of the color reference card's gray background fields controls (within certain limits) which auto-exposure settings are determined in step b) and then used in step c) for capturing the at least one image, under- or overexposure of relevant parts on the captured image can be reduced or even prevented. This helps to obtain an image suitable for being used in the determining of the concentration of the analyte in the sample.
  • the mobile device may comprise a display.
  • the camera and the display of the mobile device may both be positioned on the same side of the mobile device (in this case the camera may be termed a front camera) or on opposite sides of the mobile device (in this case the camera may be termed a back camera).
  • the camera may be a back camera.
  • the mobile device may comprise a display, and the method of the present invention may comprise providing visual guidance on the display for positioning the camera relative to an object, the object comprising at least part of the optical test strip and/or at least part of the color reference card, for determining the auto-exposure settings and/or for capturing the at least one image.
  • the visual guidance e.g., comprises one or more arrows, frames or lines indicating a preferred positioning of the camera relative to the object.
  • the visual guidance comprises an outline which corresponds to the shape of the object superimposed on the display of the mobile device.
  • Providing visual guidance on the display for positioning the camera relative to an object on the display for determining the exposure parameters and/or for capturing the at least one image may in particular relate to providing visual guidance on the display in order to guide the user to position the camera such that the scene in the set exposure metering area comprises at least part of the reagent test field of the optical test strip having the sample applied thereto, and at least part of the plurality of different color reference fields and at least part of the one or more gray background fields of the color reference card.
  • the visual guidance may, e.g., comprise an outline which corresponds to the shape of at least part of the optical test strip and/or at least part of the color reference card superimposed on the display of the mobile device.
  • Determining the auto-exposure settings may be initiated automatically.
  • the automatic determination of the auto-exposure settings may, e.g., be initiated automatically in case it is determined that the outline of the object superimposed on the display overlays the object.
  • determining the auto-exposure settings may be initiated automatically once the presence and/or a certain position of the object within the set exposure metering area is automatically detected.
  • the object may comprise at least part of the optical test strip and/or at least part of the color reference card.
  • the color reference card may particularly comprise at least one position marker. Additionally or alternatively, the test strip may comprise at least one position marker.
  • the at least one position marker may be or may comprise an ArUco code or the like.
  • the at least one position marker may be arranged in at least one corner of the color reference card. As an example, position markers can also be located in each corner of the color reference card (and the color card potentially may comprise additional position markers).
  • the mobile device may be configured for detecting and/or reading the one or more position marker(s), specifically by optically detecting the marker(s).
  • the mobile device may be configured for detecting and/or reading the marker(s) specifically by optically detecting the marker(s), and optionally retrieving information therefrom, such as information on the type, the properties or the position of the color reference card relative to the camera.
  • the mobile device may, e.g., automatically determine that the camera is in a defined position with respect to the color reference card. Determining the auto-exposure settings may be initiated automatically in case it is determined that the camera is in a defined position with respect to the color reference card based on the at least one position marker.
  • the position of the camera with respect to the color reference card based on the at least one position marker is determined and the exposure metering area is set in dependence of the determined position.
  • This is an example of dynamic setting of the exposure metering are.
  • the reference card's position relative to the camera can be tracked, e.g., by making use of the at least one position marker (such as at least one ArUco marker) and an appropriate exposure metering area can be set so that the scene in the exposure metering area comprises the color reference card for determining the autoexposure settings.
  • the color reference card may contain at least one positioning element for positioning the optical test strip and/or the reagent test field.
  • the color reference card may comprise at least one window element through which the reagent test field is visible when the test strip is placed behind the color reference card.
  • the window element may be a cut-out portion of the color reference card.
  • the window element may specifically be configured for keeping the optical test strip and, thus, the reagent test field comprised by the optical test strip, in the defined position with respect to the color reference card.
  • the reagent test field may in particular be in a defined position with respect to the color reference card during one or both of determining the exposure parameters for the camera and capturing the at least one image. Thereby optimal performance, in terms of accuracy of the measurement results achieved may be ensured.
  • step c) of the method of the present invention comprises capturing, by using the camera, at least one image comprising the scene of step b) wherein the determined auto-exposure settings of step b) are used.
  • the camera may be in a defined position with respect to the color reference card.
  • the image may be captured with the camera and the color reference card being in the same relative position as for determining the auto-exposure settings.
  • the mobile device may automatically determine the presence of the color reference card and/or a certain position thereof within a field of view and/or within a predetermined part of the field of view of the camera, such as the set exposure metering area, based on the position marker(s). Determining the auto-exposure settings may be initiated automatically, in particular once the presence of at least one object within a field of view or within a predetermined sector of the field of view of the camera is automatically detected, the object comprising at least part of the optical test strip and/or at least part of the color reference card.
  • the capturing of the at least one image may be initiated automatically, in particular once the presence of at least one object within a field of view and/or within a predetermined part of the field of view of the camera is automatically detected, the object comprising at least part of the optical test strip and/or at least part of the color reference card.
  • the light conditions during determining the exposure parameters for the camera and capturing the at least one image light conditions are substantially unchanged.
  • an illumination source of the mobile device in particular the flash light of the mobile device, may be used to illuminate the scene in the field of view of the camera.
  • Light conditions during determining the auto-exposure settings for the camera and capturing the image may thus be predominated by an illumination source of the mobile device, in particular the flash light of the mobile device.
  • At least 5%, in particular at least 10% or at least 15% of the scene in the set exposure metering area may consist of at least part of the one or more gray background fields.
  • the scene in the set exposure metering area may comprise the entire color reference card.
  • the at least one image captured in step c) may essentially consist of the scene in the set exposure metering of step b). One or both of this may contribute to influencing auto-exposure settings by the gray background fields having a defined gray value such that over and/or underexposure of the image captured in step c) is avoided or at least reduced.
  • auto-exposure settings may thus be influenced in a way that brightness of a least one color reference field is different from a situation wherein the gray background fields having a defined gray value would be replaced by white fields.
  • auto-exposure settings may thus be influenced in a way that brightness of a least one color reference field is different from a situation wherein the gray background fields having a defined gray value would be replaced by black fields.
  • the method may comprise determining at least one item of admissibility information, wherein the item of admissibility information indicates admissibility in case each pixel or at least a predetermined group of pixels corresponding to the color reference fields in the at least one image exhibit brightness values within acceptable limits, for instance between 50 and 240, or between 80 and 220.
  • the predetermined group of pixels may be dynamically determined in the field of view of the camera based on the at least one position marker.
  • the term specifically may refer, without limitation, to a characterization whether the captured at least one image is permitted and/or denied for being used in the determination of the concentration of the analyte.
  • the admissibility may be qualified or quantified by determining whether each pixel or at least a predetermined group of pixels corresponding to the color reference fields in the at least one image exhibit brightness values within acceptable limits.
  • the brightness values may be compared with one or more conditions.
  • the brightness values may be compared with one or more comparative values, reference values or stand- ard values, wherein the comparison may result in a binary result such as “admissible” or “not admissible’7“inadmissible”.
  • the comparative and/or reference values may comprise a minimum allowable brightness value and a maximum allowable brightness value.
  • the comparative values, reference values and/or standard values may be derived, as an example, from experiments or from boundary conditions determined e.g. by a precision to be achieved in the analytical measurement.
  • the term “item of admissibility information” as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to an indication of information regarding the admissibility.
  • the item of admissibility information may refer to an indication of the admissibility of determining an analytical measurement result value from the at least one image.
  • the item of admissibility information may be Boolean or digital information, such as indicating “admissible” or “not admissible” /“inadmissible”.
  • the captured image may be determined as being inadmissible for the purpose of determining an analytical measurement result value.
  • a method for determining a concentration of an analyte in a bodily fluid comprises using a mobile device having at least one camera.
  • the method further comprises: i) controlling auto-exposure settings of the mobile device according to the present invention, such as according to any of the embodiments disclosed above and/or according to any one of the embodiments disclosed in further detail below; ii) determining the concentration of the analyte in the sample by using the at least one image of at least part of the reagent test field of the optical test strip having the sample applied thereto, and at least part of the plurality of different color reference fields.
  • concentration of an analyte in a bodily fluid also referred to as an “analytical measurement”, as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a quantitatively and/or qualitatively determination of at least one analyte in an arbitrary sample or aliquot of bodily fluid.
  • the bodily fluid may comprise one or more of blood, interstitial fluid, urine, saliva or other types of body fluids.
  • the analyte is glucose and the bodily fluid is blood.
  • the result of the determining of the concentration may be a concentration of the analyte and/or the presence or absence of the analyte to be determined.
  • the determination may be a blood glucose measurement, thus the result of the determination may for example be a blood glucose concentration.
  • an analytical measurement result value may be determined by the analytical measurement.
  • analyte concentration value often also referred to as “analytical measurement result value”, as used herein, is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a numerical indication of an analyte concentration in a sample.
  • the at least one analyte may be or may comprise one or more specific chemical compounds and/or other parameters.
  • one or more analytes may be determined which take part in metabolism, such as blood glucose. Additionally or alternatively, other types of analytes or parameters may be determined, e.g. a pH value.
  • the method for determining a concentration of an analyte in a bodily fluid further comprises using the mobile device having the at least one camera. Further, the method comprises using a color reference card and an optical test strip having a test field having a sample applied thereto.
  • the method comprises determining the analyte concentration value based on a color formation of the reagent test field.
  • the method may be an analytical measurement in- cluding inducing a test reaction between the test chemical and a sample of the bodily fluid or a part thereof, such as the at least one analyte, specifically an analyte-specific test reaction, wherein the test reaction includes a color change of the reagent test field indicative of a degree of the test reaction and/or indicative of a presence or a concentration of the analyte.
  • the color formation may include an arbitrary change of at least one optical property of the optical test strip or, specifically, of the reagent test field, which change may be measured or determined optically by using the camera.
  • the analytical measurement may be or may comprise a color formation reaction in the presence of the at least one analyte to be determined.
  • color formation reaction as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a chemical, biological or physical reaction during which a color, specifically a reflectance, of at least one element involved in the reaction, changes with the progress of the reaction.
  • the color formation may be detected by the mobile device, such as by a processor of the mobile device, and may be evaluated quantitatively, such as by deriving, from the at least one image, at least one parameter quantifying or characterizing the color formation of the reagent test field due to the presence of the analyte in the sample of the bodily fluid.
  • the mobile device and specifically the processor of the mobile device may be configured for determining a color change by determining a change of one or more color coordinates taking place due to the detection reaction.
  • the at least one analyte concentration value is determined from the color formation of the reagent test field.
  • the at least one image may be used.
  • the analyte concentration value may be a numerical value indicator of a result of the analytical measurement, such as indicative of the concentration of at least one analyte in the sample, such as a blood glucose concentration.
  • the optical test strip may be placed on top of the color reference card, and/or the color reference card may comprise one or more windows (cut-outs), wherein the color reference card, with the one or more windows, is placed on top of the optical test strip such that the reagent test field is visible through the window.
  • the use of the color reference card specifically may allow for correcting camera specific or device specific changes in the at least one image of the color of the reagent test region.
  • cameras and/or mobile devices without notifying the user, apply one or more evaluation or pre-evaluation algorithms to the image, such as gamma corrections, which have to be taken into account when evaluating the images and determining the at least one analyte concentration value.
  • the mobile device may be set up for calibrating and/or correcting the image, thus taking into account the internal processes of the camera and/or the mobile device when or before determining the at least one analyte concentration value.
  • the method for determining the concentration of an analyte in a bodily fluid comprises the method of controlling auto-exposure settings.
  • a mobile device having at least one camera and at least one display.
  • the mobile device further has at least one processor.
  • the mobile device is configured for performing at least steps b) and c) and optionally step d) of the method of controlling auto-exposure settings according to the present invention, such as according to any one of the embodiments disclosed above and/or according to any one of the embodiments disclosed in further detail below.
  • the mobile device may further be configured for performing step ii) of the method of determining the concentration of an analyte in a sample according to the present invention, such as according to any one of the embodiments disclosed above and/or according to any one of the embodiments disclosed in further detail below.
  • processor as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to an arbitrary logic circuitry configured for performing basic operations of a computer or system, and/or, generally, to a device which is configured for performing calculations or logic operations.
  • the processor may be configured for processing basic instructions that drive the mobile device, computer or system.
  • the processor may comprise at least one arithmetic logic unit (ALU), at least one floating-point unit (FPU), such as a math co-processor or a numeric coprocessor, a plurality of registers, specifically registers configured for supplying operands to the ALU and storing results of operations, and a memory, such as an LI and L2 cache memory.
  • the processor may be a multi - core processor.
  • the processor may be or may comprise a central processing unit (CPU).
  • the processor may be or may comprise a microprocessor, thus specifically the processor’s elements may be contained in one single integrated circuitry (IC) chip.
  • the processor may be or may comprise one or more application-specific integrated circuits (ASICs) and/or one or more field- programmable gate arrays (FPGAs) or the like.
  • ASICs application-specific integrated circuits
  • FPGAs field- programmable gate arrays
  • the processor may specifically be configured, such as by software programming for performing and/or supporting one or more of the method steps of the method of controlling auto-exposure settings of the mobile device.
  • the processor may be configured for supporting the setting an exposure metering area and determining auto-exposure settings based on the scene in the set exposure metering area and for the capturing of the image, such as by prompting the user to capture the image and/or by detecting the color reference card in a field of view, and automatically setting an exposure metering area and determining auto-exposure settings based on the scene in the set exposure metering area and/or automatically capturing the image.
  • the processor may be configured for identifying color reference fields on the captured image and for determining measured reference color values thereof.
  • the processor may be configured for assigning known reference color values to the corresponding measured color reference fields.
  • the processor may be configured for determining a relationship between measured reference color values and corresponding known reference color values, for example by fitting the measured reference color values to the corresponding known reference color values.
  • the processor may determine the relationship, for example the linear transformation such as the color trans- formation matrix, using a linear optimization approach.
  • the processor may be configured for deriving the at least one item of quality information on the quality of the color reference card by using the relationship.
  • the processor may be configured, such as by software programming, for performing and/or supporting the method steps of the method for determining the concentration of an analyte in a bodily fluid.
  • the processor may be configured for supporting the capturing of the at least one image comprising at least part of the reagent test field of the optical test strip having the sample applied thereto, and at least part of the plurality of different color reference fields and at least part of the one or more gray background fields by using the camera of the mobile device.
  • the processor may further be configured for determining at least one analyte concentration value from color formation of the reagent test region, such as by controlling auto-exposure settings and deriving the change of one or more color coordinates taking place due to the color formation reaction and transforming the change of one or more color coordinates into the at least one analyte concentration value.
  • the processor specifically may be configured for supporting one or more or all of steps b), c) and d) of the method for controlling auto-exposure settings and step ii) of the method - of determining the concentration of an analyte in a bodily fluid.
  • the processor may further be configured for guiding the user in providing a color reference card and an optical test strip having a test field having a sample applied thereto, such as by providing user guidance, e.g. in a visual format or in an audible format.
  • the processor may further be configured for supporting the capturing of the at least one image, e.g. by automatically detecting the optical test strip or a part thereof in a field of view and/or by prompting the user to capture the image.
  • kits comprising at least one mobile device according to the present invention, such as according to any one of the embodiments disclosed above and/or according to any one of the embodiments disclosed in further detail below, further comprising at least one optical test strip having at least one reagent test field, and at least one color reference card comprising a plurality of different color reference fields having known reference color values and one or more gray background fields having a defined gray value.
  • kit as used herein is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a combination of at least two items which might as an example, may be supplied conjointly in a package, which may interact in order to fulfill at least one common purpose.
  • a computer program comprising instructions which, when the program is executed by a mobile device having a camera cause the processor of the mobile device to perform steps b) and c) (and optionally also step d) of the method for controlling auto-exposure settings, and/or step ii) of the method of determining the concentration of an analyte in a bodily fluid according to any one of the embodiments disclosed above and/or according to any one of the embodiments disclosed in further detail below.
  • a computer-readable storage medium comprising instructions which, when the program is executed by a mobile device having a camera cause the processor of the mobile device to perform steps b) and c) (and optionally also step d) of the method for controlling autoexposure settings, and/or step ii) of the method of determining the concentration of an analyte in a bodily fluid according to any one of the embodiments disclosed above and/or according to any one of the embodiments disclosed in further detail below.
  • computer-readable storage medium specifically may refer to a non-transitory data storage means, such as a hardware storage medium having stored thereon computer-executable instructions.
  • the computer-readable data carrier or storage medium specifically may be or may comprise a storage medium such as a random-access memory (RAM) and/or a read-only memory (ROM).
  • RAM random-access memory
  • ROM read-only memory
  • the computer program may also be embodied as a computer program product.
  • a computer program product may refer to the program as a tradable product.
  • the product may generally exist in an arbitrary format, such as in a paper format, or on a com- puter-readable data carrier and/or on a computer-readable storage medium.
  • the computer program product may be distributed over a data network.
  • the methods and devices according to the present invention enable the use of a greater variety of models of mobile devices for the analytical measurement.
  • the analytical measurement may provide means for an accurate analytical measurement of the analyte concentration in a bodily fluid even for a great variety of different mobile devices.
  • Embodiment 1 A method of controlling auto-exposure settings of a mobile device (128) having at least one camera (130) when capturing, by using the camera (130), at least one image of at least part of a color reference card (110) and of at least part of a reagent test field (120) of an optical test strip (118) having a sample applied thereto, the method comprising the following steps: a) providing a color reference card (110) and an optical test strip (118) having a test field (120) having a sample applied thereto,
  • the color reference card (110) comprises a plurality of different color reference fields (112) having known reference color values and one or more gray background fields (114) having defined gray values, b) setting an exposure metering area and determining auto-exposure settings based on the scene (126) in the set exposure metering area;
  • the scene (126) in the set exposure metering area comprises at least part of the reagent test field (120) of the optical test strip (118) having the sample applied thereto, and at least part of the plurality of different color reference fields (112) and at least part of the one or more gray background fields (114) of the color reference card (110), c) capturing, by using the camera (120), at least one image comprising the scene (126) of step b)
  • Embodiment 2 The method according to the preceding embodiment, wherein the exposure metering area is set in a static or dynamic manner in step b).
  • Embodiment 3 The method according to any of the preceding embodiments, wherein the mobile device (128) comprises a display (134), and the method further comprises the step of:
  • Embodiment 4 The method according to the preceding embodiment, wherein the visual guidance comprises an outline (136) which corresponds to the shape of the object superimposed on the display (134) of the mobile device (128).
  • Embodiment 5 The method according to the preceding embodiment, wherein determining the auto-exposure settings is initiated automatically in case it is determined that the outline (136) of the object superimposed on the display (134) overlays the object.
  • Embodiment 6 The method according to any of the preceding embodiments, wherein the color reference card and/or the test strip comprises at least one position marker (122).
  • Embodiment 7 The method according to the preceding embodiment, wherein determining the auto-exposure settings is initiated automatically in case it is determined that the camera (130) is in a defined position with respect to the color reference card (110) based on the at least one position marker (122).
  • Embodiment 8 The method according to any of the two preceding embodiments, wherein the position of the camera (130) with respect to the color reference card (110) based on the at least one position marker (122) is determined and the exposure metering area is set in dependence of the determined position.
  • Embodiment 9 The method according to any of the preceding embodiments, wherein the reagent test field (120) is in a defined position with respect to the color reference card (110) during one or both of determining the auto-exposure settings for the camera (130) and capturing the at least one image.
  • Embodiment 10 The method according to any of the preceding embodiments, wherein the camera (130) is in a defined position with respect to the color reference card (110) during one or both of determining the auto-exposure settings for the camera (130) and capturing the at least one image.
  • Embodiment 11 The method according to any of the preceding embodiments, wherein determining the auto-exposure settings is initiated automatically, in particular once the presence of at least one object within a field of view and/or within a predetermined sector of the field of view of the camera is automatically detected, the object comprising at least part of the optical test strip (118) and/or at least part of the color reference card (110).
  • Embodiment 12 The method according to any of the preceding embodiments, wherein capturing the at least one image is initiated automatically, in particular once the presence of at least one object within a field of view and/or within a predetermined sector of the field of view of the camera is automatically detected, the object comprising at least part of the optical test strip (118) and/or at least part of the color reference card (110).
  • Embodiment 13 The method according to any of the preceding embodiments, wherein light conditions are substantially unchanged during determining the auto-exposure settings for the camera (130) and capturing the at least one image.
  • Embodiment 14 The method according to any of the preceding embodiments, wherein light conditions during determining the auto-exposure settings for the camera (130) and capturing the at least one image are predominated by an illumination source of the mobile device.
  • Embodiment 15 The method according to any of the preceding embodiments, wherein the one or more gray background fields have defined gray values between 0% and 30% gray level or between 70% and 100% gray level.
  • Embodiment 16 The method according to any of the preceding embodiments, wherein the one or more gray background fields (114) having efined gray values cover at least 10% of the surface of the color reference card facing the camera.
  • Embodiment 17 The method according to any of the preceding embodiments, wherein at least 5%, in particular at least 10% or at least 15% of the scene in the set exposure metering area consists of at least part of the one or more gray background fields (114).
  • Embodiment 18 The method according to any of the preceding embodiments, wherein the scene (126) in the set exposure metering area comprises the entire color reference card (HO).
  • Embodiment 19 The method according to any of the preceding embodiments, wherein the at least one image captured in step c) essentially consists of the scene (126) in the set exposure metering of step b).
  • Embodiment 20 The method according to any of the preceding embodiments, wherein the method further comprises: d) determining at least one item of admissibility information, wherein the item of admissibility information indicates admissibility in case each pixel or at least a predetermined group of pixels corresponding to the color reference fields (112) in the at least one image exhibit brightness values within acceptable limits, for instance between 50 and 240, or between 80 and 220.
  • Embodiment 21 The method according to any of the preceding embodiments, wherein the method further comprises: e) determining the concentration of an analyte in the sample by using the at least one image of at least part of the reagent test field (120) of the optical test strip (118) having the sample applied thereto, and at least part of the plurality of different color reference fields (H2).
  • Embodiment 22 A method of determining the concentration of an analyte in a sample by using a mobile device (128) having at least one camera (130) the method comprising the following steps: i) controlling auto-exposure settings of the mobile device (128) according to any of the preceding embodiments when capturing, by using the camera (130), at least one image of at least part of a color reference card (110) and of at least part of a reagent test field (120) of an optical test strip (118) having a sample applied thereto, ii) determining the concentration of the analyte in the sample by using the at least one image of at least part of the reagent test field (120) of the optical test strip (118) having the sample applied thereto, and at least part of the plurality of different color reference fields (H2).
  • Embodiment 23 The method according to any of the two preceding embodiments, wherein the analyte is glucose and the bodily fluid is blood.
  • Embodiment 24 A mobile device (128) having at least one camera (130) and at least one display (134), the mobile device (128) being configured for performing at least steps b) and c) and optionally step d) of the method of controlling auto-exposure settings according to any of the preceding embodiments 1-21.
  • Embodiment 25 The mobile device of the preceding embodiment being configured for performing step e) of the method of controlling auto-exposure settings according to embodiment 21 or 23 or step ii) of the method of determining the concentration of an analyte in a sample according to embodiment 22 or 23.
  • Embodiment 26 A kit for determining the concentration of an analyte in a bodily fluid, the kit comprising:
  • the color reference card (110) comprises a plurality of different color reference fields (112) having known reference color values and one or more gray background fields (114) having defined gray values.
  • Embodiment 27 A computer program comprising instructions which, when the program is executed by a mobile device (128) having a camera (130), cause the mobile device (128) to carry out at least steps b) and c), and optionally step d), and/or one of steps e) and ii) of the methods according to any one of the preceding method embodiments.
  • Embodiment 28 A computer-readable storage medium, specifically a non-transitory storage medium, comprising instructions which, when executed by a mobile device (128) having a camera (130), cause the mobile device (128) to carry out at least steps b) and c), and optionally step d) and/or one of steps e) and ii) of the method according to any one of the preceding method embodiments.
  • Figure 1 shows a color reference card in plan view
  • Figure 2 shows an embodiment of a kit comprising the mobile device, a color reference card and an optical test strip
  • Figure 3 shows the situation when determining auto-exposure settings based on the scene in the set exposure metering area and capturing the image
  • Figure 4 shows a flow chart of an embodiment of a method of controlling autoexposure settings
  • Figure 5 shows a flow chart of an embodiment of a method for determining the concentration of at least one analyte in a bodily fluid.
  • the color reference card 110 comprises a plurality of color reference fields 112 having known reference color values.
  • the color reference fields 112 may be arranged on the surface of the color reference card 110, such as on a substrate of the color reference card 110.
  • the color reference fields 112 may be distributed equally over the surface of the color reference card 110, specifically in such a way that the plurality of color reference fields 112 may be distributed over the entire surface of the color reference card 110.
  • the color reference fields 112 may be arranged in matrix pattern, such as a rectangular matrix pattern.
  • the color reference fields 112 may also be arranged in other ways, such as separately from each other.
  • the color reference card 110 further comprises one or more gray background fields 114 surrounding the color reference fields 112 and/or framing the color reference card.
  • the color reference fields 112 and the gray background fields 114 may not overlap each other.
  • the color reference card 110 may further comprise at least one window 116.
  • at least one optical test strip 118 or a part thereof may be visible through the window 116 when the color reference card 110 is placed on top of the optical test strip 118.
  • at least one reagent test field 120 comprised by the optical test strip 118 may be visible through the window 116 of the color reference card 110.
  • the color reference card 110 may comprise the optical test strip 118 having at least one reagent test field 120, specifically in such a way that the at least one reagent test field 120 is accessible and visible.
  • the color reference card 110 may comprise at least one position marker 122.
  • the position marker 122 may particularly be an ArUco code.
  • the position marker 122 specifically may comprise one or more ArUco codes, such as in the corners of a rectangular matrix comprising the color reference fields 112.
  • the position marker 122 may be arranged in at least one corner 124 of the color reference card 110.
  • at least one position marker 122 may be arranged in each of the corners 124 of the color reference card 110, specifically in such a way that the position marker 122 may be visible together with the plurality of color reference fields 112.
  • the position marker 122 may comprise information about the orientation of the color reference card 110.
  • kit in a perspective view.
  • the kit comprises at least one mobile device 128 and at least one color reference card 110. Further, the kit comprises the at least one optical test strip 118.
  • the mobile device 128 may be or may comprise at least one of a cell phone, a smartphone, a tablet computer or the like. Further, the mobile device 128 has at least one camera 130.
  • the camera 130 of the mobile device 128 may be configured for recording images, specifically color images.
  • the camera 130 may be a color camera and may comprise at least three color sensors, such as at least one color sensor for the R, G, B colors.
  • the mobile device 128 may comprise at least one processor 132.
  • the processorl32 may be configured, specifically by software programming, to perform one or more of the method steps b), c) and d) of the method of controlling auto-exposure settings.
  • the processor 132 may be configured for supporting step ii) of the method for determining a concentration of an analyte. Exemplary embodiments of the above-mentioned methods are shown in Figures 4 and 5, respectively, and will be described in further detail below. Thus, reference may be made to the description of Figures 4 and 5.
  • the processor 132 may specifically be configured for supporting the setting of an exposure metering area and determining auto-exposure settings based on the scene 126 in the set exposure metering area.
  • the scene 126 in the set exposure metering area comprises the color reference card and the reagent test field.
  • the processor 132 may further specifically be configured for capturing of at least one image comprising the scene 126. Specifically, the processor 132 may prompt a user of the mobile device 128 to capture the image. Additionally or alternatively, the processor 132 may be configured for automatically capturing the image of the color reference card 110, specifically when the color reference card 110 may be in a field of view.
  • the color reference card 110 has been described above (see Figure 1).
  • the color reference card 110 comprises the plurality of color reference fields 112 having known reference color values.
  • the color reference card 110 may comprise the at least one window 116.
  • the optical test strip 118 may be visible through the window 116 of the color reference card 110, specifically when the color reference card 110 may be placed on top of the optical test strip 118 such that both, the color reference card 110 and the optical test strip 118, may be visible on the at least one image captured by the camera 130 of the mobile device 128.
  • the at least one reagent test region 120 of the optical test strip 118 may be visible through the window 116 of the color reference card 110.
  • the color reference card 110 may further comprise the at least one position marker 122.
  • the position marker 122 may be arranged on at least one surface of the color reference card 110 such that the marker 122 may be detectable by the camera 130 of the mobile device 128.
  • the at least one marker 122 may be used for identifying the color reference card 110.
  • the processor 132 of the mobile device 128 may be configured for detecting the position marker 122 in a field of view of the camera 130.
  • Figure 3 shows the situation when determining auto-exposure settings and capturing the image.
  • Visual guidance is provided in this embodiment on the display in form of an outline 136 of the color reference card superimposed on the display 134 of the mobile device 128 in order to guide the user to position the camera such that the scene in the set exposure metering area which corresponds to the outline 136 comprises at least part of the reagent test field of the optical test strip having the sample applied thereto, and at least part of the plurality of different color reference fields and at least part of the one or more gray background fields.
  • the scene in the set exposure metering area comprises the entire color reference card.
  • Determining the auto-exposure settings and capturing the image may be initiated automatically.
  • the automatic determination of the auto-exposure settings may, e.g., be initiated automatically in case it is detected that, based on the position marker 122, the color reference card is within the set exposure metering area. Similarly, the image can then be automatically captured wherein the determined auto-exposure settings are used.
  • Figure 4 shows a flow chart of an exemplary embodiment of a method of controlling autoexposure settings of a mobile device 138.
  • the method comprises: a) (denoted with reference number 142) providing a color reference card and an optical test strip having a test field having a sample applied thereto, wherein the color reference card comprises a plurality of different color reference fields having known reference color values and one or more gray background fields having defined gray values, b) (denoted with reference number 144) setting an exposure metering area and determining auto-exposure settings based on the scene in the set exposure metering area; wherein the scene in the set exposure metering comprises at least part of the reagent test field of the optical test strip having the sample applied thereto, and at least part of the plurality of different color reference fields and at least part of the one or more gray background fields of the color reference card, and c) (denoted with reference number 146) capturing, by using the camera, an image comprising the scene of step b) wherein the determined auto-exposure settings of step b) are used.
  • the method may comprise additional steps that are not listed.
  • a color reference card 110 and an optical test strip 118 having a test field having a sample applied are provided.
  • the processor 132 may be configured for guiding the user in providing the color reference card and the optical test strip by providing user guidance, e.g. in a visual format or in an audible format
  • step b) the exposure metering area is set and auto-exposure settings based on the scene 126 in the set exposure metering area are determined.
  • the processor 132 may be configured for prompting the user to place the color reference card in the field of view of the camera or the position of the color reference card 110 may be tracked by the mobile device via the position marker 122.
  • the processor 132 may be configured for detecting the color reference card 110 in a field of view and further for determining the auto-exposure settings when the color reference card with the position marker 122 is detected in the set exposure metering area.
  • step c) an image is captured.
  • the capturing of the at least one image may be initiated by user action or may automatically be initiated, e.g. once the color reference card is detected in the field of view of the camera 130 based on the position markers 122.
  • the image acquisition may be supported by processor 132 of the mobile device 128, and the storing of the images may take place in a data storage device of the mobile device.
  • the at least one image comprises the scene of step b). For capturing the image, the determined auto-exposure settings of step b) are used.
  • the brightness of the exemplary color reference field was lower when a color reference card with brighter gray background fields was used compared to a color reference card with darker gray background fields. Even brighter or even darker gray background fields may be used to steer exposure levels more strongly to a desired exposure level. This can help to obtain images suitable for being used in the determining of the concentration of an analyte in a sample applied to the test field of a test strip when imaged together with the color reference card (e.g. by avoiding over- or underexposure of the test field or relevant fields of the color reference card needed for image correction in determining the analyte concentration).
  • Figure 5 shows a flow chart of an exemplary embodiment of a method of determining the concentration of an analyte in a sample by using a mobile device 128 having at least one camera 130.
  • the method comprises: i) (denoted with reference number 138) controlling auto-exposure settings of the mobile device as described before when capturing, by using the camera (130), at least one image of at least part of a color reference card (110) and of at least part of a reagent test field (120) of an optical test strip (118) having a sample applied thereto, ii) (denoted with reference number 148) determining the concentration of the analyte in the sample by using the at least one image of at least part of the reagent test field (120) of the optical test strip (118) having the sample applied thereto, and at least part of the plurality of different color reference fields (112).
  • step ii) it is referred to the method of controlling auto-exposure settings 138 as described above.
  • step iii e.g., the glucose concentration in a blood sample applied to the test field of the test strip may be determined from the color formation of the reagent test field using the at least one image captured.
  • the mobile device may be set up for calibrating and/or correcting the image, thus taking into account the internal processes of the camera and/or the mobile device when or before determining the at least one analyte concentration value.

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Abstract

L'invention concerne un procédé de commande de paramètres d'auto-exposition d'un dispositif mobile ayant au moins une caméra. Le procédé comprend les étapes consistant à : a) fournir une carte de référence de couleur (110) et une bandelette de test optique (118) ayant un champ d'essai (120) sur lequel est appliqué un échantillon, la carte de référence de couleur (110) comprenant une pluralité de différents champs de référence de couleur (112) ayant des valeurs de couleur de référence connues et un ou plusieurs champs de fond gris (114) ayant des valeurs de gris définies, b) définir une zone de mesure d'exposition et déterminer des paramètres d'auto-exposition sur la base de la scène (126) dans la zone de mesure d'exposition définie ; la scène (126) dans la zone de mesure d'exposition définie comprenant au moins une partie du champ de test de réactif (120) de la bandelette de test optique (118) sur laquelle est appliqué l'échantillon et au moins une partie de la pluralité de différents champs de référence de couleur (112) et au moins une partie du ou des champs de fond gris (114) de la carte de référence de couleur (110), c) capturer, à l'aide de la caméra (120), au moins une image comprenant la scène (126) de l'étape b), les paramètres d'auto-exposition déterminés de l'étape b) étant utilisés. L'invention concerne également un procédé de détermination de la concentration d'un analyte dans un échantillon à l'aide d'un dispositif mobile.
PCT/EP2021/078097 2020-10-14 2021-10-12 Procédé de commande de paramètres d'auto-exposition d'un dispositif mobile ayant une caméra WO2022078977A1 (fr)

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CA3195116A CA3195116A1 (fr) 2020-10-14 2021-10-12 Procede de commande de parametres d'auto-exposition d'un dispositif mobile ayant une camera
MA59998A MA59998A1 (fr) 2020-10-14 2021-10-12 Procédé de commande de paramètres d'auto-exposition d'un dispositif mobile ayant une caméra
KR1020237016095A KR20230086754A (ko) 2020-10-14 2021-10-12 카메라를 가진 모바일 장치의 자동 노출 설정 제어 방법
JP2023522902A JP2023545191A (ja) 2020-10-14 2021-10-12 カメラを有するモバイル装置の自動露出設定を制御する方法
CN202180070561.7A CN116420067A (zh) 2020-10-14 2021-10-12 控制具有相机的移动装置的自动曝光设置的方法
US18/300,106 US20230262339A1 (en) 2020-10-14 2023-04-13 Method of controlling auto-exposure settings of a mobile device having a camera

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EP20201896.6A EP3985382A1 (fr) 2020-10-14 2020-10-14 Procédé de commande de réglages d'exposition automatique d'un dispositif mobile doté d'une caméra

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US20230262339A1 (en) 2023-08-17
CA3195116A1 (fr) 2022-04-21
JP2023545191A (ja) 2023-10-26

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